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Record W2015753095 · doi:10.1002/mop.10514

Extraction of rate‐equation parameters from optical modal gain measurements for multiple‐quantum‐well semiconductor lasers

2002· article· en· W2015753095 on OpenAlexaff
Marek S. Wartak, P. Weetman, Teemu Alajoki, Janne Aikio, Ville Heikkinen

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMicrowaveRate equationLaserModalSemiconductorSemiconductor laser theoryRenormalizationOptoelectronicsStatistical physicsQuantum wellMaterials sciencePhysicsSemiconductor optical gainScatteringComputational physicsElectronic engineeringOpticsQuantum mechanicsEngineering

Abstract

fetched live from OpenAlex

Abstract Rate equations for multiple‐quantum‐well (MQW) laser structure with carrier transport effects and advanced models of optical modal gain were used to extract relevant laser's parameters used in simulations. The many‐body effects of bandgap renormalization, Coulombic scattering interactions, and a non‐Markovian distribution were included in gain calculations. The importance of carrier leakage for that particular structure is indicated. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 35: 55–56, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10514

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.255
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2002
Admission routes1
Has abstractyes

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